How to Use the Keen MCP in CrewAI

Q: How do I add Keen tools to a CrewAI agent?

Pass your Vinkius endpoint URL directly in the agent's mcps array. CrewAI will automatically discover tools like recordevent and selectunique over the MCP connection. Your agents can immediately start writing events or analyzing data.

Q: Can I limit which Keen tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP from crewai.mcp with a toolfilter. This lets you restrict a junior agent to only listsavedqueries, while blocking them from calling recordevent. It keeps your production database safe.

Q: How does CrewAI handle large Keen event queries?

Your agents can use listdatasets to read pre-aggregated data instead of running heavy queries. For raw counts, countevents is highly optimized. This prevents your agents from timing out on large collections.

Deploy specialized agent teams that analyze Keen event streams and run reports using CrewAI.

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Connect Keen MCP to CrewAI

Create your Vinkius account to connect Keen to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Keen with CrewAI

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Run multi-agent analysis on Keen collections

The `list_collections` tool allows your supervisor agent to find active telemetry streams before assigning tasks. A second analyst agent can then run `count_unique` on those collections. This team setup prevents single-agent bottlenecks. One agent finds the target data, while another calculates the metrics and writes the summary.

Detect telemetry anomalies using CrewAI and Keen

The `average_property` and `sum_property` tools give your monitoring crew the raw numbers they need to detect spikes. If a metric deviates from the norm, the crew escalates the issue. Your crew runs silently in the background, executing sequential tasks to watch your stack. You get real-time alerting without setting up complex rule engines.

Map project structures with the CrewAI MCP Server

The `get_project_details` tool lets your developer agent inspect your Keen configuration. Your crew can then configure new tracking pipelines based on active projects. This eliminates manual schema documentation. Agents read the live configuration, adapt their queries, and update your codebase automatically.

Setup guide

Set up Keen MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Keen tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Keen Analyst",
    goal="Access and analyze Keen data via MCP.",
    backstory="Expert analyst with direct Keen access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Keen transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Keen Analyst",
        goal="Access and analyze Keen data via MCP.",
        backstory="Expert analyst with direct Keen access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Keen transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Keen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Keen MCP in CrewAI

Pass your Vinkius endpoint URL directly in the agent's `mcps` array. CrewAI will automatically discover tools like `record_event` and `select_unique` over the MCP connection. Your agents can immediately start writing events or analyzing data.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter`. This lets you restrict a junior agent to only `list_saved_queries`, while blocking them from calling `record_event`. It keeps your production database safe.

Your agents can use `list_datasets` to read pre-aggregated data instead of running heavy queries. For raw counts, `count_events` is highly optimized. This prevents your agents from timing out on large collections.

No, credentials are not shared or exposed to the agents. Vinkius manages your Keen API keys securely. The agents only see the tool interface, like `sum_property`, and never handle the raw keys.

Your event counts and schema definitions remain strictly confidential. The MCP server runs inside ephemeral, zero-trust sandboxes on Vinkius. We handle authorization tokens on our secure gateway, so your database credentials are never exposed to the LLM.

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